TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Credner, Jonas
A1  - Rehrmann, Peter
A1  - Raaz, Waldemar
A1  - Rath, Thomas
T1  - Blue Apple – an algorithm to realize agricultural  classification under difficult light and color situations
T2  - Informatik in der Land-, Forst- und Ernährungswirtschaft Fokus: Resiliente Agri-Food-Systeme
N2  - Computer-image processing becomes more and more important in the analysis of data in biological and agricultural research and practice. However, robust image processing is highly de pendent on the histogram analysis algorithms used and the quality of the data being processed. The algorithm presented here aims to improve the accuracy of the classification of image data generated under complex boundary situations and inconsistent lighting conditions. Using the example of the determination of nitrogen content of tomato leaves and the qualitative determination of starch con tent of apples on the basis of color image processing, we showed that the developed algorithm is able to perform a robust classification and represents an improvement to simple histogram analysis.
KW  - classification
KW  - histogram analysis
KW  - color image processing
KW  - starch detection apples
KW  - N-analysis plants
Y1  - 2023
UR  - https://dl.gi.de/server/api/core/bitstreams/bfcca521-856f-4604-ba93-05cd7ed7a6eb/content
SN  - 978-3-88579-724-1
SB  - 978-3-88579-724-1
N1  - 43. GIL-Jahrestagung 13.-14. Februar 2023 Osnabrück, Germany
SP  - 53
EP  - 65
S1  - 12
ER  -